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Comparison Between Human and Rodent Neurons for Persistent Activity Performance: A Biologically Plausible Computational Investigation

Elucidating the multi-scale detailed differences between the human brain and other brains will help shed light on what makes us unique as a species. Computational models help link biochemical and anatomical properties to cognitive functions and predict key properties of the cortex. Here, we present...

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Detalles Bibliográficos
Autores principales: Zhang, Qian, Zeng, Yi, Zhang, Tielin, Yang, Taoyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8459009/
https://www.ncbi.nlm.nih.gov/pubmed/34566587
http://dx.doi.org/10.3389/fnsys.2021.628839
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author Zhang, Qian
Zeng, Yi
Zhang, Tielin
Yang, Taoyi
author_facet Zhang, Qian
Zeng, Yi
Zhang, Tielin
Yang, Taoyi
author_sort Zhang, Qian
collection PubMed
description Elucidating the multi-scale detailed differences between the human brain and other brains will help shed light on what makes us unique as a species. Computational models help link biochemical and anatomical properties to cognitive functions and predict key properties of the cortex. Here, we present a detailed human neocortex network, with all human neuron parameters derived from the newest Allen Brain human brain cell database. Compared with that of rodents, the human neural network maintains more complete and accurate information under the same graphic input. Unique membrane properties in human neocortical neurons enhance the human brain’s capacity for signal processing.
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spelling pubmed-84590092021-09-24 Comparison Between Human and Rodent Neurons for Persistent Activity Performance: A Biologically Plausible Computational Investigation Zhang, Qian Zeng, Yi Zhang, Tielin Yang, Taoyi Front Syst Neurosci Neuroscience Elucidating the multi-scale detailed differences between the human brain and other brains will help shed light on what makes us unique as a species. Computational models help link biochemical and anatomical properties to cognitive functions and predict key properties of the cortex. Here, we present a detailed human neocortex network, with all human neuron parameters derived from the newest Allen Brain human brain cell database. Compared with that of rodents, the human neural network maintains more complete and accurate information under the same graphic input. Unique membrane properties in human neocortical neurons enhance the human brain’s capacity for signal processing. Frontiers Media S.A. 2021-09-09 /pmc/articles/PMC8459009/ /pubmed/34566587 http://dx.doi.org/10.3389/fnsys.2021.628839 Text en Copyright © 2021 Zhang, Zeng, Zhang and Yang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Zhang, Qian
Zeng, Yi
Zhang, Tielin
Yang, Taoyi
Comparison Between Human and Rodent Neurons for Persistent Activity Performance: A Biologically Plausible Computational Investigation
title Comparison Between Human and Rodent Neurons for Persistent Activity Performance: A Biologically Plausible Computational Investigation
title_full Comparison Between Human and Rodent Neurons for Persistent Activity Performance: A Biologically Plausible Computational Investigation
title_fullStr Comparison Between Human and Rodent Neurons for Persistent Activity Performance: A Biologically Plausible Computational Investigation
title_full_unstemmed Comparison Between Human and Rodent Neurons for Persistent Activity Performance: A Biologically Plausible Computational Investigation
title_short Comparison Between Human and Rodent Neurons for Persistent Activity Performance: A Biologically Plausible Computational Investigation
title_sort comparison between human and rodent neurons for persistent activity performance: a biologically plausible computational investigation
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8459009/
https://www.ncbi.nlm.nih.gov/pubmed/34566587
http://dx.doi.org/10.3389/fnsys.2021.628839
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